IEEE

Detection of Diseases, Severity Analysis and Curability Prediction in Cotton Plants

Abstract: Cotton crops play a crucial role in the textile industry. However, the quality of cotton is impacted by the diseases like Bacterial Blight, Cotton Leaf Curl Virus (CLCuV), and traditional ...
IEEE

Leaf Images Assisted Potato Plant Disease Detection Using Deep-Learning with Features Fusion

Abstract: Plant condition monitoring is one of the necessary tasks in the agriculture to confirm the yield. Recent agricultural monitoring procedures employed computerised-algorithms to automate ...
IEEE

Adaptive Multi-Feature Fusion Algorithm for Ship Rust Detection on Coating Surfaces

Abstract: Ships operating in marine environments for extended periods are prone to corrosion, threatening structural integrity and service life. Current corrosion detection research primarily falls ...
IEEE

Automated Data Extraction from Unstructured Text Using Machine Learning Algorithms

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
IEEE

CMA-YOLO11: An Advanced Algorithm for High-Precision Steel Surface Defect Detection

Abstract: Steel surface defect detection is vital for ensuring steel quality. To address the low accuracy, high false-and miss-detection rates of existing algorithms, this paper presents the ...
IEEE

DAS-Based Perimeter Intrusion Detection Using 2D-CNN With SKAttention Mechanism

Abstract: Distributed fiber optic sensing technology has been extensively applied in the field of perimeter security. The distributed acoustic sensing (DAS) system driven by a deep learning ...
IEEE

Cotton Plant Disease Detection: A Deep Learning Approach

Abstract: Cotton plays a crucial role in the global economy and is a primary raw material for the textile sector. Despite its importance, cotton crops are prone to various diseases that can severely ...
IEEE

A Novel Alzheimer’s Disease Classification Framework Integrating 3D CNN With Bidirectional Feature Pyramid Network and Vision Transformers

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that severely affects memory and cognitive function, underscoring the need for accurate and early diagnostic tools. Deep ...
IEEE

Integrating Data-Driven Insights for Heart Disease Prediction Using Machine Learning Algorithms

Abstract: The World Health Organization reports that cardiovascular diseases constitute 32% of global deaths while staying as one of the top worldwide mortality factors. Heart disease detection during ...
IEEE

AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures

Abstract: The increasing use of artificial intelligence-generated deepfakes creates major challenges in maintaining digital authenticity. Four AI-based models, consisting of three CNNs and one Vision ...
IEEE

Enhancing CNN-Based Motion Sickness Detection using EEG Signals Weighted by Motion Sickness Dose Value

Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
IEEE

Enhancing Early Plant Disease Detection with the Advanced GNN-based Model Leveraging Hyperspectral Imaging

Abstract: Accurate early detection of plant diseases remains a critical challenge due to the complexity of hyperspectral data and the limitations of traditional machine learning models. This study ...